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--- |
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license: cc-by-nc-4.0 |
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base_model: facebook/nllb-200-distilled-1.3B |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: nllb-200-distilled-1.3B-finetuned-py2cpp |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# nllb-200-distilled-1.3B-finetuned-py2cpp |
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This model is a fine-tuned version of [facebook/nllb-200-distilled-1.3B](https://huggingface.co/facebook/nllb-200-distilled-1.3B) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8596 |
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- Bleu: 64.3588 |
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- Gen Len: 75.1636 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:| |
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| No log | 0.99 | 33 | 3.0707 | 25.7972 | 101.6182 | |
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| No log | 2.0 | 67 | 2.1456 | 27.0277 | 97.5818 | |
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| No log | 2.99 | 100 | 1.5575 | 29.1338 | 94.5455 | |
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| No log | 4.0 | 134 | 1.2533 | 51.6222 | 75.1273 | |
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| No log | 4.99 | 167 | 1.0750 | 57.0794 | 76.2 | |
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| No log | 6.0 | 201 | 0.9742 | 60.7142 | 74.1455 | |
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| No log | 6.99 | 234 | 0.9128 | 63.8188 | 72.6182 | |
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| No log | 8.0 | 268 | 0.8811 | 63.7263 | 75.1455 | |
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| No log | 8.99 | 301 | 0.8642 | 64.1829 | 75.0909 | |
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| No log | 9.85 | 330 | 0.8596 | 64.3588 | 75.1636 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.13.3 |
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